{"id":"W2051695597","doi":"10.1097/01.mph.0000140650.65591.f1","title":"Predictive Genetic Testing for Childhood Cancer: Taking the Road Less Traveled By","year":2004,"lang":"en","type":"review","venue":"Journal of Pediatric Hematology/Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; SickKids Foundation","funders":"","keywords":"Medicine; Childhood cancer; Sick child; Family medicine; Cancer genetics; Medical genetics; Oncology; Pediatric oncology; Medical school; Cancer; Internal medicine; Medical education; Pediatrics; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007130865,0.0005457447,0.002140771,0.0002041604,0.0002101999,0.00003692124,0.0009059549,0.001165305,0.0000151532],"category_scores_gemma":[0.001555111,0.00039272,0.0008207412,0.000317894,0.0001621576,0.000005406254,0.0001911447,0.0008014789,0.00000310069],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004445659,"about_ca_system_score_gemma":0.007360244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004803079,"about_ca_topic_score_gemma":0.00003619471,"domain_scores_codex":[0.9966601,0.00028063,0.001716509,0.0005162553,0.0002048968,0.0006216415],"domain_scores_gemma":[0.9938931,0.0008911248,0.004144023,0.000368497,0.0004921356,0.0002111418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008460315,0.00035831,0.0003079626,0.002930389,0.0009078731,0.00009063738,0.0001335479,0.0001222873,0.00004405595,0.00003740982,0.01399831,0.9809846],"study_design_scores_gemma":[0.002319767,0.003608355,0.0001327127,0.0009426,0.00538053,0.003975715,0.0001254425,0.00001498717,0.00006183618,0.0001795442,0.9826379,0.0006206328],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002269178,0.99279,0.001615825,0.0001755378,0.001548331,0.00108598,0.0003662442,0.000007414268,0.0001414462],"genre_scores_gemma":[0.001717917,0.9900116,0.00234523,0.0001865669,0.005273455,0.0002682313,0.00007153409,0.0001013944,0.00002402129],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.980364,"threshold_uncertainty_score":0.9998525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03286953445989336,"score_gpt":0.3365612991883303,"score_spread":0.3036917647284369,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}